Application of Worm Optimization Algorithm to Design Challenges: A Focus on Compression Springs

GÖKÇE H., Karap S.

Mechanika, cilt.31, sa.5, ss.499-504, 2025 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 31 Sayı: 5
  • Basım Tarihi: 2025
  • Doi Numarası: 10.5755/j02.mech.39982
  • Dergi Adı: Mechanika
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Central & Eastern European Academic Source (CEEAS), Compendex, Directory of Open Access Journals
  • Sayfa Sayıları: ss.499-504
  • Anahtar Kelimeler: design optimization, pressure spring, worm optimization algorithm
  • Gazi Üniversitesi Adresli: Evet

Özet

Meta-heuristic algorithms are approximate algorithms that are used in situations where traditional optimization techniques cannot achieve acceptable results. Specifi-cally, they are widely used to achieve optimum design of machine elements. Designing springs according to minimum weight or volume is one of the most basic problems in this field. In this study, a bio-inspired meta-heuristic Worm Optimization Algorithm (WOA) inspired by the contribution of worms to nature was used to solve the problem. The results obtained were compared with those obtained by other algorithms and it was seen that similar data was obtained recently. As a result, it was determined that this algorithm can be used for optimum design of mechanical struc-tures.